The Social Collider reveals cross-connections between conversations on Twitter.
This experiment explores these possibilities by starting with messages on the microblogging-platform Twitter. One can search for usernames or topics, which are tracked through time and visualized much like the way a particle collider draws pictures of subatomic matter. Posts that didn’t resonate with anyone just connect to the next item in the stream. The ones that did, however, spin off and horizontally link to users or topics who relate to them, either directly or in terms of their content.
I went ahead and put my username in, as always, and got back a plotted graph. It took a while to run as I selected 2 weeks from the available time searches. As you place your mouse over any point on the graph, it pops up the tweet and you begin to see where conversations collide you may not have been part of, simply by seeing the topic itself.